Data Mining And Its Importance

Data Mining and its importance

Data mining or data mining allows to see patterns, the process and techniques of interest, that way you can understand the large databases in the past, present and future, as well as, to solve those problems as it also authorizes us to manage and manage it. We can reveal data, which we access to take advantage of this complexity of data. They provide an amount of information for which, it helps us a good decision making creating additional knowledge, thus understanding the world.

Data mining is part of the KDD process, which is the extraction of knowledge;To meet an objective, the data selection, the procedure, the transformation, the extraction of data or data mining and finally the interpretation or analysis obtained from said data is made available.

"A Warehouse data structures the data in such a way that Data Mining facilitates, so in many cases it is very desirable to have a data warehouse to carry out Data Mining" (García Herrero & Molina López, 2012, Page. twenty-one).

It can be said that Data Mining is part of the Machine Learning that is automatic learning, these algorithms are responsible for finding hidden patterns that are very necessary in that way to make predictions.

Data Mining techniques

There are two types of methods or techniques of data mining that are the following:

• Descriptive method: helps us analyze and discover exploited information.
• Predictive Method: The future can be predicted through supervised data.

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conclusion

This indicates that Data Mining provide safe, reliable and true information for decision -making in an organization and for future statistics. In it, more organized information from the data is extracted with a large amount of storage. Every day more information is created since people today have greater Internet access.

References

García Herrero, J., & Molina López, J. M. (2012). Data analysis techniques;practical applications using Microsoft Excel and Weka. Carlos III University of Madrid, 1-266.